/**
 * Copyright 2020 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMP_ADAGRAD_IMPL_H_
#define MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMP_ADAGRAD_IMPL_H_

#include "runtime/device/gpu/cuda_common.h"
template <typename T, typename S, typename G>
void ApplyAdagrad(const size_t size,
                  const bool update_slots,
                  const S *learning_rate,
                  const G *gradient,
                  T *variable,
                  T *accumulation,
                  cudaStream_t stream);

#endif  // MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMP_ADAGRAD_IMPL_H_
